MRI/TRUS data fusion for brachytherapy
BACKGROUND: Prostate brachytherapy consists in placing radioactive seeds for tumour destruction under transrectal ultrasound imaging (TRUS) control. It requires prostate delineation from the images for dose planning. Because ultrasound imaging is patient- and operator-dependent, we have proposed to...
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| creator | Daanen, V Gastaldo, J Giraud, J Y Fourneret, P Descotes, J L Bolla, M Collomb, D Troccaz, Jocelyne |
| description | BACKGROUND: Prostate brachytherapy consists in placing radioactive seeds for tumour destruction under transrectal ultrasound imaging (TRUS) control. It requires prostate delineation from the images for dose planning. Because ultrasound imaging is patient- and operator-dependent, we have proposed to fuse MRI data to TRUS data to make image processing more reliable. The technical accuracy of this approach has already been evaluated. METHODS: We present work in progress concerning the evaluation of the approach from the dosimetry viewpoint. The objective is to determine what impact this system may have on the treatment of the patient. Dose planning is performed from initial TRUS prostate contours and evaluated on contours modified by data fusion. RESULTS: For the eight patients included, we demonstrate that TRUS prostate volume is most often underestimated and that dose is overestimated in a correlated way. However, dose constraints are still verified for those eight patients. CONCLUSIONS: This confirms our initial hypothesis. |
| doi_str_mv | 10.48550/arxiv.0712.2099 |
| format | Article |
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It requires prostate delineation from the images for dose planning. Because ultrasound imaging is patient- and operator-dependent, we have proposed to fuse MRI data to TRUS data to make image processing more reliable. The technical accuracy of this approach has already been evaluated. METHODS: We present work in progress concerning the evaluation of the approach from the dosimetry viewpoint. The objective is to determine what impact this system may have on the treatment of the patient. Dose planning is performed from initial TRUS prostate contours and evaluated on contours modified by data fusion. RESULTS: For the eight patients included, we demonstrate that TRUS prostate volume is most often underestimated and that dose is overestimated in a correlated way. However, dose constraints are still verified for those eight patients. 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CONCLUSIONS: This confirms our initial hypothesis.</description><subject>Background radiation</subject><subject>Computer Science - Other Computer Science</subject><subject>Contours</subject><subject>Data integration</subject><subject>Dosimeters</subject><subject>Image processing</subject><subject>Magnetic resonance imaging</subject><subject>Medical imaging</subject><subject>Multisensor fusion</subject><subject>Patients</subject><subject>Prostate</subject><subject>Radiation therapy</subject><subject>Ultrasonic imaging</subject><subject>Workflow</subject><issn>2331-8422</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2007</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><sourceid>GOX</sourceid><recordid>eNotj01Lw0AYhBdBsNTee5KA4C3pu-9mv45S1BYqQhvPYbPZpSnaxE0i5t-bWOcyhxmGeQhZUkhSxTmsTPipvhOQFBMEra_IDBmjsUoRb8iibU8AgEIi52xGHl7321W2fz9EpelM5Pu2qs-Rr0NUBGOPQ3d0wTTDLbn25qN1i3-fk-z5KVtv4t3by3b9uIsNpzwWioFw2knqgWol0abWjZJecygMKxmKskjBei2ocNwXiF5oq0rwaDBlc3J3mf1jyJtQfZow5BNLPrGMhftLoQn1V-_aLj_VfTiPl6YckcmRi_0CMP1KNA</recordid><startdate>20071213</startdate><enddate>20071213</enddate><creator>Daanen, V</creator><creator>Gastaldo, J</creator><creator>Giraud, J Y</creator><creator>Fourneret, P</creator><creator>Descotes, J L</creator><creator>Bolla, M</creator><creator>Collomb, D</creator><creator>Troccaz, Jocelyne</creator><general>Cornell University Library, arXiv.org</general><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>HCIFZ</scope><scope>L6V</scope><scope>M7S</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>AKY</scope><scope>GOX</scope></search><sort><creationdate>20071213</creationdate><title>MRI/TRUS data fusion for brachytherapy</title><author>Daanen, V ; Gastaldo, J ; Giraud, J Y ; Fourneret, P ; Descotes, J L ; Bolla, M ; Collomb, D ; Troccaz, Jocelyne</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a515-68306e9e71f019872c4ceeee7f950ba3d326db40cf9616e5fb22f69c8d0f2a243</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2007</creationdate><topic>Background radiation</topic><topic>Computer Science - Other Computer Science</topic><topic>Contours</topic><topic>Data integration</topic><topic>Dosimeters</topic><topic>Image processing</topic><topic>Magnetic resonance imaging</topic><topic>Medical imaging</topic><topic>Multisensor fusion</topic><topic>Patients</topic><topic>Prostate</topic><topic>Radiation therapy</topic><topic>Ultrasonic imaging</topic><topic>Workflow</topic><toplevel>online_resources</toplevel><creatorcontrib>Daanen, V</creatorcontrib><creatorcontrib>Gastaldo, J</creatorcontrib><creatorcontrib>Giraud, J Y</creatorcontrib><creatorcontrib>Fourneret, P</creatorcontrib><creatorcontrib>Descotes, J L</creatorcontrib><creatorcontrib>Bolla, M</creatorcontrib><creatorcontrib>Collomb, D</creatorcontrib><creatorcontrib>Troccaz, Jocelyne</creatorcontrib><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Engineering Collection</collection><collection>Engineering Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><collection>arXiv Computer Science</collection><collection>arXiv.org</collection><jtitle>arXiv.org</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Daanen, V</au><au>Gastaldo, J</au><au>Giraud, J Y</au><au>Fourneret, P</au><au>Descotes, J L</au><au>Bolla, M</au><au>Collomb, D</au><au>Troccaz, Jocelyne</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>MRI/TRUS data fusion for brachytherapy</atitle><jtitle>arXiv.org</jtitle><date>2007-12-13</date><risdate>2007</risdate><eissn>2331-8422</eissn><abstract>BACKGROUND: Prostate brachytherapy consists in placing radioactive seeds for tumour destruction under transrectal ultrasound imaging (TRUS) control. It requires prostate delineation from the images for dose planning. Because ultrasound imaging is patient- and operator-dependent, we have proposed to fuse MRI data to TRUS data to make image processing more reliable. The technical accuracy of this approach has already been evaluated. METHODS: We present work in progress concerning the evaluation of the approach from the dosimetry viewpoint. The objective is to determine what impact this system may have on the treatment of the patient. Dose planning is performed from initial TRUS prostate contours and evaluated on contours modified by data fusion. RESULTS: For the eight patients included, we demonstrate that TRUS prostate volume is most often underestimated and that dose is overestimated in a correlated way. However, dose constraints are still verified for those eight patients. 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| subjects | Background radiation Computer Science - Other Computer Science Contours Data integration Dosimeters Image processing Magnetic resonance imaging Medical imaging Multisensor fusion Patients Prostate Radiation therapy Ultrasonic imaging Workflow |
| title | MRI/TRUS data fusion for brachytherapy |
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